In this paper we propose a solution to a challenging task of magnetic resonance image reconstruction in a scalable and flexible way. The proposal elaborates task slicing and its distribution using market-based approach, where participating nodes perform task processing using their own spare computing capacities. The distributed task execution is orchestrated within multi-agent environment where agents offer the execution services by bidding for the offered tasks. Proposed negotiation protocol includes local and cloud-based resources where the offered services are exchanged for an award based on the negotiated award value function. The proposed solution considers simplicity and expressiveness of SDLMAS language and the advantages of corresponding platform for rapid design and development of multi-agent systems.

During the last years the concept of multi-resolution modeling has gained special attention in many fields of computer graphics and geometric modeling. In this paper we generalize powerful multiresolution techniques to arbitrary triangle meshes without requiring subdivision connectivity. Our major observation is that the hierarchy of nested spaces which is the structural core element of most multi-resolution algorithms can be replaced by the sequence of intermediate meshes emerging from the application of incremental mesh decimation. Performing such schemes with local frame coding of the detail coefficients already provides effective and efficient algorithms to extract multi-resolution information from unstructured meshes. In combination with discrete fairing techniques, i.e., the constrained minimization of discrete energy functionals, we obtain very fast mesh smoothing algorithms which are able to reduce noise from a geometrically specified frequency band in a multiresolution decomposition. Putting mesh hierarchies, local frame coding and multi-level smoothing together allows us to propose a flexible and intuitive paradigm for interactive detail-preserving mesh modification. We show examples generated by our mesh modeling tool implementation to demonstrate its functionality.